CN110341668A - A kind of braking force distribution method, apparatus and entire car controller - Google Patents

A kind of braking force distribution method, apparatus and entire car controller Download PDF

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Publication number
CN110341668A
CN110341668A CN201810308036.4A CN201810308036A CN110341668A CN 110341668 A CN110341668 A CN 110341668A CN 201810308036 A CN201810308036 A CN 201810308036A CN 110341668 A CN110341668 A CN 110341668A
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China
Prior art keywords
road conditions
braking
brake
data
current
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Granted
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CN201810308036.4A
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Chinese (zh)
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CN110341668B (en
Inventor
蒋新华
曹则张
窦希江
王民
韩元飞
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SAIC Motor Corp Ltd
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SAIC Motor Corp Ltd
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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T8/00Arrangements for adjusting wheel-braking force to meet varying vehicular or ground-surface conditions, e.g. limiting or varying distribution of braking force
    • B60T8/17Using electrical or electronic regulation means to control braking
    • B60T8/172Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60TVEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
    • B60T8/00Arrangements for adjusting wheel-braking force to meet varying vehicular or ground-surface conditions, e.g. limiting or varying distribution of braking force
    • B60T8/32Arrangements for adjusting wheel-braking force to meet varying vehicular or ground-surface conditions, e.g. limiting or varying distribution of braking force responsive to a speed condition, e.g. acceleration or deceleration
    • B60T8/58Arrangements for adjusting wheel-braking force to meet varying vehicular or ground-surface conditions, e.g. limiting or varying distribution of braking force responsive to a speed condition, e.g. acceleration or deceleration responsive to speed and another condition or to plural speed conditions

Abstract

The present invention provides a kind of braking force distribution method, apparatus and entire car controllers, the braking force distribution method is applied to entire car controller, it include: the operation data for acquiring vehicle, the operation data includes vehicle speed data, gear data, accelerator open degree data, brake aperture data, shift frequency data, brake frequency data and parking frequency data;The road conditions identification model constructed according to operation data and in advance, identifies current road conditions;When the aperture for detecting brake pedal is greater than brake aperture threshold value, current braking effort allocation rule is determined according to current road conditions, and distribute brake force according to current braking effort allocation rule.Based on method disclosed by the invention, current road conditions can be identified in real time, and distribute brake force according to current road conditions when braking is required, rationalize the distribution of brake force, to improve the fuel economy and brake block durability of vehicle.

Description

A kind of braking force distribution method, apparatus and entire car controller
Technical field
The present invention relates to hybrid vehicle control technology field, more specifically to a kind of braking force distribution method, Device and entire car controller.
Background technique
Hybrid vehicle is at this stage with characteristics such as its tail gas low-emission and long cruising abilities, before possessing good market Scape.
Braking achieved by hybrid vehicle includes three kinds: brake, motor braking and engine auxiliary system It is dynamic.When driver steps on brake, entire car controller differentiates whether motor braking is able to satisfy the braking of vehicle required for vehicle first, If it could not, being then turned on brake and engine auxiliary braking.
But since the brake force that motor braking, brake and engine auxiliary braking respectively export is by vehicle control Device processed is allocated according to fixed allocation logic, and therefore, the reasonability of braking force distribution cannot guarantee, to bring oil consumption Increase and brake pad wear the problems such as.
Summary of the invention
In view of this, the present invention provides a kind of braking force distribution method, apparatus and entire car controller, to solve existing press The problem of according to unreasonable distribution brought by fixed allocation assignment of logical brake force.Technical solution is as follows:
A kind of braking force distribution method is applied to entire car controller, comprising:
The operation data of vehicle is acquired, the operation data includes vehicle speed data, gear data, accelerator open degree data, stops Vehicle aperture data, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model constructed according to the operation data and in advance, identifies current road conditions;
When the aperture for detecting brake pedal is greater than brake aperture threshold value, current brake is determined according to the current road conditions Power allocation rule, and brake force is distributed according to the current braking effort allocation rule.
Preferably, the operation data of the acquisition vehicle, comprising:
According to the first operation data of acquisition of default sampling interval vehicle;
According to the whole acquired in the default sampling period first operation data, the second operation number of the vehicle is calculated According to the default sampling period includes at least one described default sampling interval;
According to first operation data and second operation data, the operation data of the vehicle is determined.
Preferably, the process of road conditions identification model is constructed in advance, comprising:
The experience operation data of multiple setting road conditions is acquired from background data base;
Extract the experience operation data of each the First Eigenvalue for setting road conditions and each setting road conditions Second Eigenvalue;
According to default intelligence learning algorithm, the First Eigenvalue and Second Eigenvalue of each setting road conditions, road is generated Condition identification model.
Preferably, the default intelligence learning algorithm, comprising:
FUZZY ALGORITHMS FOR CONTROL or Neural Network Self-learning algorithm.
Preferably, described to determine current braking effort allocation rule according to the current road conditions, and according to the current brake Power allocation rule distributes brake force, comprising:
According to the mapping relations of pre-generated road conditions and braking force distribution rule, determine corresponding to the current road conditions Current braking effort allocation rule includes brake, motor braking and engine auxiliary in the current braking effort allocation rule Brake respective priority and respective braking limit value;
Calculate the vehicle braking torque of the vehicle;
It is each according to the vehicle braking torque, the brake, the motor braking and the engine auxiliary braking From priority and respective braking limit value, calculate the brake, the motor braking and the engine auxiliary system Move respective braking torque apportioning cost.
A kind of braking force distribution device, comprising: data acquisition module, road conditions identification module and braking force distribution module, institute It states in road conditions identification module comprising road conditions identification model construction unit;
The data acquisition module, for acquiring the operation data of vehicle, the operation data includes vehicle speed data, gear Data, accelerator open degree data, brake aperture data, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model construction unit, for constructing road conditions identification model in advance;
The road conditions identification module, the road conditions identification model for constructing according to the operation data and in advance, identification are worked as Preceding road conditions;
The braking force distribution module, for when detect brake pedal aperture be greater than brake aperture threshold value when, according to The current road conditions determine current braking effort allocation rule, and distribute brake force according to the current braking effort allocation rule.
Preferably, the road conditions identification model construction unit, is specifically used for:
The experience operation data of multiple setting road conditions is acquired from background data base;Extract the of each setting road conditions The Second Eigenvalue of the experience operation data of one characteristic value and each setting road conditions;According to default intelligence learning algorithm, The First Eigenvalue and Second Eigenvalue of each setting road conditions, generate road conditions identification model.
Preferably, the braking force distribution module, is specifically used for:
According to the mapping relations of pre-generated road conditions and braking force distribution rule, determine corresponding to the current road conditions Current braking effort allocation rule includes brake, motor braking and engine auxiliary in the current braking effort allocation rule Brake respective priority and respective braking limit value;Calculate the vehicle braking torque of the vehicle;According to the vehicle system Dynamic torque, the brake, the motor braking and the respective priority of the engine auxiliary braking and respective system Dynamic limit value, calculates the brake, the motor braking and the respective braking torque apportioning cost of the engine auxiliary braking.
A kind of entire car controller, comprising: memory and processor;
The memory, for storing operation sequence, code or the instruction of above-mentioned braking force distribution method;
The processor, operation sequence, code for storing in memory described in the distribution brake force luck row or refers to It enables, the operation sequence, code or instruction are used for:
The operation data of vehicle is acquired, the operation data includes vehicle speed data, gear data, accelerator open degree data, stops Vehicle aperture data, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model constructed according to the operation data and in advance, identifies current road conditions;
When the aperture for detecting brake pedal is greater than brake aperture threshold value, current brake is determined according to the current road conditions Power allocation rule, and brake force is distributed according to the current braking effort allocation rule.
Compared to the prior art, what the present invention realized has the beneficial effect that
The above present invention provides a kind of braking force distribution method, apparatus and entire car controller, the braking force distribution method Applied to entire car controller, current road conditions are identified in real time using the operation data of vehicle;It is big in the aperture for detecting brake pedal In brake aperture threshold value, it is, distributing brake force according to current road conditions when detecting that driver steps on brake.Based on this The method of disclosure of the invention can identify current road conditions in real time, and distribute brake force according to current road conditions when braking is required, make to brake The distribution of power rationalizes, to improve the fuel economy and brake block durability of vehicle.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 is the method flow diagram of braking force distribution method provided in an embodiment of the present invention;
Fig. 2 is the Part Methods flow chart of braking force distribution method provided in an embodiment of the present invention;
Fig. 3 is the another Part Methods flow chart of braking force distribution method provided in an embodiment of the present invention;
Fig. 4 is another Part Methods flow chart of braking force distribution method provided in an embodiment of the present invention;
Fig. 5 is the structural schematic diagram of braking force distribution device provided in an embodiment of the present invention;
Fig. 6 is the structural schematic diagram of entire car controller provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present invention provides a kind of braking force distribution method, and this method is applied to entire car controller, method flow diagram As shown in Figure 1, including the following steps:
S10, acquires the operation data of vehicle, and the operation data includes vehicle speed data, gear data, accelerator open degree number According to, brake aperture data, shift frequency data, brake frequency data and parking frequency data;
During specific implementation, the process of " operation data of acquisition vehicle " in step S10 can be specifically using following Step, method flow diagram are as shown in Figure 2:
S101, according to the first operation data of acquisition of default sampling interval vehicle;
During executing step S101, the first operation data of vehicle can be acquired in real time according to the default sampling interval, First operation data includes but is not limited to the basic parameters such as speed, gear, accelerator open degree, brake aperture, for example, pre- If the sampling interval is 1S, each 1S just acquires the speed of a vehicle, gear data, accelerator open degree and brake aperture.
S102 calculates the second operation data of vehicle according to all the first operation datas acquired in the default sampling period, The default sampling period includes at least one default sampling interval;
During executing step S102, at the first operation data of whole collected in the default sampling period Reason, for example, default acquisition interval is 1S, the default sampling period is 10S, the first operation data collected includes speed, gear Data, accelerator open degree and brake aperture, then 10 speeds that can be acquired according to 10S calculate average speed, according to what is acquired in 10S 10 accelerator open degrees calculate average accelerator open degree, calculate aperture of averagely braking according to the 10 brake apertures acquired in 10S.
Further, gear change number also is determined using gear data collected, to calculate changing for vehicle in 10S Frequency is kept off, the shift frequency the big, illustrates that shift is more frequent;Vehicle when also determining sampling every time using gear data and speed Whether dead ship condition is in, for example, the speed sampled every time is less than 2km/ under the premise of gear data are not P grades or N grades It when h, then can determine that vehicle is now in dead ship condition, therefore, vehicle in 10S can be calculated by the stop frequency in 10S and is stopped Vehicle frequency, the parking frequency the big, illustrates that road conditions are more stifled;Certainly, it can also be counted using 10 brake apertures collected in 10S The brake number in 10S is calculated, to calculate the brake frequency in 10S, the brake frequency the big, illustrates that road conditions are more stifled.
S103 determines the operation data of vehicle according to the first operation data and the second operation data;
During executing step S103, it can be calculated by the first operation data of acquisition and based on the first operation data To the second operation data be all used as the operation data of vehicle, for example, by bases such as speed, gear, accelerator open degree, brake apertures This parameter and average speed, average accelerator open degree, aperture of averagely braking, shift frequency, parking frequency and brake frequency conduct The operation data of vehicle.
S20, the road conditions identification model constructed according to operation data and in advance, identifies current road conditions;
During executing step S20, using operation data as the input data of road conditions identification model, then road conditions are identified Current road conditions corresponding to model outputting operating data;
During specific implementation, the process of road conditions identification model is constructed in step S20 in advance, it can be specifically using following Step, method flow diagram are as shown in Figure 3:
S201 acquires the experience operation data of multiple setting road conditions from background data base;
During executing step S201, multiple setting road conditions include but is not limited to city low speed/congestion operating condition, suburb Area/highway operating condition and for a long time braking/long descending operating condition can also be able to be certainly other roads for one or more Condition, the present embodiment do not limit, and are directed to every kind of setting road conditions, multiple groups experience operation data can also be acquired, for example, for city This setting road conditions of low speed/congestion operating condition, can acquire 3 groups of experience operation datas, and every group of experience operation data includes but do not limit to In vehicle speed data, gear data, accelerator open degree data, brake aperture data, shift frequency data, brake frequency data and parking Frequency data.
S202 extracts the second of the First Eigenvalue of each setting road conditions and the experience operation data of each setting road conditions Characteristic value;
During executing step S202, for each setting road conditions and its corresponding experience operation data, mention respectively Characteristic value is taken, for example, this setting road conditions acquires 3 groups of experience operation datas for city low speed/congestion operating condition, needs to acquire 3 groups of characteristic values, respectively city low speed/congestion operating condition the First Eigenvalue and the Second Eigenvalue of first group of operation data, City low speed/congestion operating condition the First Eigenvalue and the Second Eigenvalue of second group of operation data, city low speed/congestion operating condition The First Eigenvalue and third group operation data Second Eigenvalue;It certainly, is also so to extract for other setting road conditions Characteristic value.
S203 generates road according to default intelligence learning algorithm, the First Eigenvalue and Second Eigenvalue of each setting road conditions Condition identification model.
It should be noted that default intelligence learning algorithm includes but is not limited to that FUZZY ALGORITHMS FOR CONTROL or neural network are learnt by oneself Algorithm is practised, can be specifically chosen according to actual needs, the present embodiment does not do any restriction.
S30 determines current brake according to current road conditions when the aperture for detecting brake pedal is greater than brake aperture threshold value Power allocation rule, and brake force is distributed according to current braking effort allocation rule.
During executing step S30, braking events can be determined whether there is by detecting the aperture of brake pedal, The aperture and brake aperture threshold value for comparing the brake pedal detected, if the aperture of brake pedal is less than or equal to brake aperture Threshold value, then it represents that braking events are not present, whereas if the aperture of brake pedal is greater than brake aperture threshold value, then it represents that exist Braking events.
In addition, the braking as achieved by brake, motor braking and engine auxiliary braking under every kind of road conditions is imitated Fruit is different, for example, for city low speed/congestion operating condition, since low speed engine probably stops working or to vehicle Charging, therefore, the braking effect of brake and motor braking is optimal, and for suburb/highway operating condition, since high speed is public Motor recovers energy efficiency highest under road, and therefore, the braking effect of brake and motor braking is optimal, in addition, for it is long when Between braking/long descending operating condition, to keep vehicle braking effect optimal, generally using brake, motor braking and engine auxiliary Brake the mode combined.And priority and brake force limit value are specifically braked, it can specifically be set in braking force distribution rule, this Implementation is not specifically limited.
During specific implementation, in step S30 " current braking effort allocation rule is determined according to current road conditions, and according to The process of current braking effort allocation rule distribution brake force ", can specifically use following steps, method flow diagram is as shown in Figure 4:
S301 is determined corresponding to current road conditions according to the mapping relations of pre-generated road conditions and braking force distribution rule Current braking effort allocation rule, it is auxiliary comprising brake, motor braking and engine in the current braking effort allocation rule It helps and brakes respective priority and respective braking limit value;
S302 calculates the vehicle braking torque of vehicle;
S303, according to vehicle braking torque, brake, motor braking and the respective priority of engine auxiliary braking with And respective braking limit value, calculate brake, motor braking and the respective braking torque apportioning cost of engine auxiliary braking.
During executing step S303, for example, vehicle braking torque is under long-time braking/long descending operating condition A, braking priority is respectively as follows: brake, motor braking and engine auxiliary braking from high to low, also, three is respective Braking limit value is respectively B, C and D, it is assumed that A is between (B+C)~(B+C+D), then can distribute braking torque amount for brake Be motor braking distribution braking torque amount it is C for B, be that distribute braking torque amount be A-B-C to engine auxiliary braking.
Above step S101~step S103 is only the " fortune of acquisition vehicle in step S10 that the embodiment of the present application discloses A kind of preferred implementation of the process of row data ", the specific implementation in relation to this process can appoint according to their own needs Meaning setting, it is not limited here.
Above step S201~step S203 is only to construct road conditions knowledge in step S20 that the embodiment of the present application discloses in advance A kind of preferred implementation of the process of other model, the specific implementation in relation to this process can be any according to their own needs Setting, it is not limited here.
Above step S301~step S303 is only in step S30 that the embodiment of the present application discloses " according to current road conditions Determine current braking effort allocation rule, and distribute brake force according to current braking effort allocation rule " process one kind it is preferred Implementation, the specific implementation in relation to this process can be arbitrarily arranged according to their own needs, it is not limited here.
Braking force distribution method provided in an embodiment of the present invention can identify current road conditions in real time, and press when braking is required According to current road conditions distribute brake force, rationalize the distribution of brake force, thus improve vehicle fuel economy and brake block it is resistance to Long property.
The braking force distribution method provided based on the above embodiment, then corresponding provide executes above-mentioned braking to the embodiment of the present invention The device of force distribution method, structural schematic diagram are as shown in Figure 5, comprising: data acquisition module 10, road conditions identification module 20 and system Power distribution module 30 includes road conditions identification model construction unit 201 in the road conditions identification module 20;
Data acquisition module 10, for acquiring the operation data of vehicle, the operation data includes vehicle speed data, gear number According to, accelerator open degree data, brake aperture data, shift frequency data, brake frequency data and parking frequency data;
Road conditions identification model construction unit 201, for constructing road conditions identification model in advance;
Road conditions identification module 20, the road conditions identification model for constructing according to operation data and in advance, identifies current road conditions;
Braking force distribution module 30, for when the aperture for detecting brake pedal is greater than brake aperture threshold value, according to working as Preceding road conditions determine current braking effort allocation rule, and distribute brake force according to current braking effort allocation rule.
Optionally, data acquisition module 10 are specifically used for:
According to the first operation data of acquisition of default sampling interval vehicle;According to all the acquired in the default sampling period One operation data calculates the second operation data of vehicle, and the default sampling period includes at least one default sampling interval;Root According to the first operation data and the second operation data, the operation data of vehicle is determined.
Optionally, road conditions identification model construction unit 201, is specifically used for:
The experience operation data of multiple setting road conditions is acquired from background data base;Extract each setting road conditions first is special The Second Eigenvalue of the experience operation data of value indicative and each setting road conditions;According to default intelligence learning algorithm, each setting The First Eigenvalue and Second Eigenvalue of road conditions generate road conditions identification model.
Optionally, the default intelligence learning algorithm, comprising: FUZZY ALGORITHMS FOR CONTROL or Neural Network Self-learning algorithm.
Optionally, braking force distribution module 30, is specifically used for:
According to the mapping relations of pre-generated road conditions and braking force distribution rule, determine current corresponding to current road conditions Braking force distribution is regular, includes brake, motor braking and engine auxiliary braking in the current braking effort allocation rule Respective priority and respective braking limit value;Calculate the vehicle braking torque of vehicle;According to vehicle braking torque, brake system Dynamic, motor braking and the respective priority of engine auxiliary braking and respective braking limit value calculate brake, motor system The dynamic and respective braking torque apportioning cost of engine auxiliary braking.
Braking force distribution device provided in an embodiment of the present invention can identify current road conditions in real time, and press when braking is required According to current road conditions distribute brake force, rationalize the distribution of brake force, thus improve vehicle fuel economy and brake block it is resistance to Long property.
The braking force distribution method and device provided based on the above embodiment, the embodiment of the present invention then provide a kind of vehicle control Device processed, structural schematic diagram are as shown in Figure 6, comprising: memory 40 and processor 50;
Memory 40, for storing operation sequence, code or the instruction of above-mentioned braking force distribution method;
Processor 50, operation sequence, code for storing in memory 40 described in the distribution brake force luck row or refers to It enables, the operation sequence, code or instruction are used for:
The operation data of vehicle is acquired, the operation data includes vehicle speed data, gear data, accelerator open degree data, stops Vehicle aperture data, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model constructed according to operation data and in advance, identifies current road conditions;
When the aperture for detecting brake pedal is greater than brake aperture threshold value, current braking effort point is determined according to current road conditions Brake force is distributed with rule, and according to current braking effort allocation rule.
When processor 50 will carry out the relevant operation of braking force distribution method disclosed in above-mentioned the embodiment of the present application, call And execute the operation sequence stored in memory 40, code or instruction can complete braking force distribution disclosed in the embodiment of the present application The process of method.Detailed process can be found in the corresponding part of above-mentioned the embodiment of the present application, and which is not described herein again.
Entire car controller provided in an embodiment of the present invention can identify current road conditions in real time, and when braking is required according to working as Preceding road conditions distribute brake force, rationalize the distribution of brake force, to improve the fuel economy and brake block durability of vehicle.
Detailed Jie has been carried out to a kind of braking force distribution method, apparatus provided by the present invention and entire car controller above It continues, used herein a specific example illustrates the principle and implementation of the invention, and the explanation of above embodiments is only It is to be used to help understand method and its core concept of the invention;At the same time, for those skilled in the art, according to this hair Bright thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not manage Solution is limitation of the present invention.
It should be noted that all the embodiments in this specification are described in a progressive manner, each embodiment weight Point explanation is the difference from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, phase Place is closed referring to method part illustration.
It should also be noted that, herein, relational terms such as first and second and the like are used merely to one Entity or operation are distinguished with another entity or operation, without necessarily requiring or implying between these entities or operation There are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant are intended to contain Lid non-exclusive inclusion, so that the element that the process, method, article or equipment including a series of elements is intrinsic, It further include either the element intrinsic for these process, method, article or equipments.In the absence of more restrictions, The element limited by sentence "including a ...", it is not excluded that in the process, method, article or equipment including the element In there is also other identical elements.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (9)

1. a kind of braking force distribution method, which is characterized in that be applied to entire car controller, comprising:
The operation data of vehicle is acquired, the operation data includes vehicle speed data, gear data, accelerator open degree data, brakes and open Degree evidence, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model constructed according to the operation data and in advance, identifies current road conditions;
When the aperture for detecting brake pedal is greater than brake aperture threshold value, current braking effort point is determined according to the current road conditions Brake force is distributed with rule, and according to the current braking effort allocation rule.
2. the method according to claim 1, wherein the operation data of the acquisition vehicle, comprising:
According to the first operation data of acquisition of default sampling interval vehicle;
According to the whole acquired in the default sampling period first operation data, the second operation data of the vehicle is calculated, The default sampling period includes at least one described default sampling interval;
According to first operation data and second operation data, the operation data of the vehicle is determined.
3. the method according to claim 1, wherein constructing the process of road conditions identification model in advance, comprising:
The experience operation data of multiple setting road conditions is acquired from background data base;
Extract the second of the First Eigenvalue of each setting road conditions and the experience operation data of each setting road conditions Characteristic value;
According to default intelligence learning algorithm, the First Eigenvalue and Second Eigenvalue of each setting road conditions, generates road conditions and know Other model.
4. according to the method described in claim 3, it is characterized in that, the default intelligence learning algorithm, comprising:
FUZZY ALGORITHMS FOR CONTROL or Neural Network Self-learning algorithm.
5. the method according to claim 1, wherein described determine current braking effort point according to the current road conditions Brake force is distributed with rule, and according to the current braking effort allocation rule, comprising:
According to the mapping relations of pre-generated road conditions and braking force distribution rule, determine current corresponding to the current road conditions Braking force distribution is regular, includes brake, motor braking and engine auxiliary braking in the current braking effort allocation rule Respective priority and respective braking limit value;
Calculate the vehicle braking torque of the vehicle;
It is respective according to the vehicle braking torque, the brake, the motor braking and the engine auxiliary braking It is each to calculate the brake, the motor braking and the engine auxiliary braking for priority and respective braking limit value From braking torque apportioning cost.
6. a kind of braking force distribution device characterized by comprising data acquisition module, road conditions identification module and brake force point It include road conditions identification model construction unit in the road conditions identification module with module;
The data acquisition module, for acquiring the operation data of vehicle, the operation data includes vehicle speed data, gear number According to, accelerator open degree data, brake aperture data, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model construction unit, for constructing road conditions identification model in advance;
The road conditions identification module, the road conditions identification model for constructing according to the operation data and in advance, identifies current road Condition;
The braking force distribution module, for when detect brake pedal aperture be greater than brake aperture threshold value when, according to described Current road conditions determine current braking effort allocation rule, and distribute brake force according to the current braking effort allocation rule.
7. device according to claim 6, which is characterized in that the road conditions identification model construction unit is specifically used for:
The experience operation data of multiple setting road conditions is acquired from background data base;Extract each setting road conditions first is special The Second Eigenvalue of the experience operation data of value indicative and each setting road conditions;According to default intelligence learning algorithm, each The First Eigenvalue and Second Eigenvalue of the setting road conditions, generate road conditions identification model.
8. device according to claim 6, which is characterized in that the braking force distribution module is specifically used for:
According to the mapping relations of pre-generated road conditions and braking force distribution rule, determine current corresponding to the current road conditions Braking force distribution is regular, includes brake, motor braking and engine auxiliary braking in the current braking effort allocation rule Respective priority and respective braking limit value;Calculate the vehicle braking torque of the vehicle;It brakes and turns round according to the vehicle Square, the brake, the motor braking and the respective priority of the engine auxiliary braking and respective braking limit Value, calculates the brake, the motor braking and the respective braking torque apportioning cost of the engine auxiliary braking.
9. a kind of entire car controller characterized by comprising memory and processor;
The memory, for storing operation sequence, code or the instruction of above-mentioned braking force distribution method;
The processor, operation sequence, code or instruction for being stored in the memory described in distribution brake force luck row, institute Operation sequence, code or instruction is stated to be used for:
The operation data of vehicle is acquired, the operation data includes vehicle speed data, gear data, accelerator open degree data, brakes and open Degree evidence, shift frequency data, brake frequency data and parking frequency data;
The road conditions identification model constructed according to the operation data and in advance, identifies current road conditions;
When the aperture for detecting brake pedal is greater than brake aperture threshold value, current braking effort point is determined according to the current road conditions Brake force is distributed with rule, and according to the current braking effort allocation rule.
CN201810308036.4A 2018-04-08 2018-04-08 Braking force distribution method and device and vehicle control unit Active CN110341668B (en)

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